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DEBU
2006
163views more  DEBU 2006»
15 years 3 months ago
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
Tanzeem Choudhury, Matthai Philipose, Danny Wyatt,...
ICDCS
2009
IEEE
16 years 4 days ago
CLIQUE: Role-Free Clustering with Q-Learning for Wireless Sensor Networks
Clustering and aggregation inherently increase wireless sensor network (WSN) lifetime by collecting information within a cluster at a cluster head, reducing the amount of data thr...
Anna Förster, Amy L. Murphy
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
15 years 7 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
MDM
2007
Springer
15 years 9 months ago
The MicroPulse Framework for Adaptive Waking Windows in Sensor Networks
Abstract—In this paper we present MicroPulse, a novel framework for adapting the waking window of a sensing device S based on the data workload incurred by a query Q. Assuming a ...
Demetrios Zeinalipour-Yazti, Panayiotis Andreou, P...
ESCIENCE
2005
IEEE
15 years 8 months ago
Sensor Networks and Grid Middleware for Laboratory Monitoring
By combining automatic environment sensing and experimental data collection with broker based messaging middleware, a system has been produced for the real-time monitoring of expe...
Jamie M. Robinson, Jeremy G. Frey, Andy J. Stanfor...